Awesome

Mouse Dictionary is a super fast browser dictionary.

Features:

⚡ Super quick response time (1/60 second)
💡 Smart phrase detection
🔍 Automatic word separation (e.g. camelCase -> camel case)
📝 Option to add your own data
🎨 Customizable view

Available for various documents:

HTML
PDF
YouTube captions
Notion
Evernote (Use with Mouse Dictionary iframe support)
...

Install

For Chrome
For Firefox
For Safari (See #53)

Screenshots

English-Japanese

Japanese-English

German

Want to use for the German language? Take a look these great articles!

How to develop

Preparation

Use Node.js 22+.

npm install

Generate static resources.

npm run res

Build

For Chrome:

npm run build-chrome   # Debug build
npm run release-chrome # Release build

For Firefox:

npm run build-firefox   # Debug build
npm run release-firefox # Release build

For Safari:

npm run build-safari   # Debug build
npm run release-safari # Release build

see package.json for other commands.

Contribution

For the moment, Mouse Dictionary project doesn't have any strict rule about contribution. Feel free to create any issues and pull requests.

Some guides:

Editor: the main developer uses VSCode
Before you commit: try running npm run test and npm run lint

Cross-extension messaging

Mouse Dictionary supports receiving cross-extension messages. Mouse Dictionary iframe support is a good example that implements message sending to this extension.

Here is a code example for sending a message to Mouse Dictionary. You can make Mouse Dictionary look up words/expressions from other extensions.

const MD_EXTENSION_ID = "dnclbikcihnpjohihfcmmldgkjnebgnj";

chrome.runtime.sendMessage(MD_EXTENSION_ID, {
  type: "text",
  text: "rained cats and dogs",
});

Parameters:

name	type	value
type	string	must be "text"
text	string	text you want to look up

License

Mouse Dictionary is published under the MIT license.

Third-party data

This project includes some third-party data:

Dictionary data

ejdict-hand (Public Domain)

Images

Built-in PDF viewer

Mouse Dictionary's built-in PDF viewer is based on PDF.js (Apache-2.0)

Great JavaScript libraries

See package.json and license.html